graph-attribution
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Missing requirements/imports
Hi, thank you for the great paper and sharing your code.
Sorry I don't have time to make a small PR, but there are a couple requirements and imports missing that you'll notice if you try to run the train_attribute_and_evaluate
notebook. If create your environment with conda env create
, you will not be able to run the notebook because you're missing the ml-collections
and more-itertools
libraries.
Similarly, you'll find the time
library has not been imported, and everywhere you use tqdm
as module instead of the right function (tqdm
vs tqdm.tqdm
).
Thanks again, Ryan
Along the lines of what @rhsimplex has pointed out, specific version numbers (also for python) are missing in the environment file.
This causes conda env create -f environment.yml
to take forever in solving the right environment.